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Updated: Jun 19, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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同时拥抱多样性和隐私安全:一个动态的隐私意识的联合强化学习方法

Chenying Jin, Xiang Feng, Huiqun Yu

    IEEE transactions on neural networks and learning systems
    |July 25, 2024
    PubMed
    概括

    本研究介绍了DPA-FedRL,这是一个动态的隐私意识的联合强化学习 (FRL) 框架. 它通过动态分配隐私预算来增强异构环境中的隐私和性能.

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